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Multi-destination trips and tourism statistics: Empirical evidences in Sicily

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  • Parroco, Anna Maria
  • Vaccina, Franco
  • De Cantis, Stefano
  • Ferrante, Mauro

Abstract

The knowledge of the actual magnitude and main features of tourism flows in a given destination is an essential prerequisite for the evaluation of tourism impacts and externalities. Indeed, many pleasure trips are often characterized by the visit to more than a single destination. Although the topic is well-documented in literature, the empirical results are limited to a few pioneering studies. The lack may be attributable to the failure of tourism organizations to collect data on multi-destination trip behaviour. This can be seen, for example, in the system of European statistics on tourism (according to the Council Directive 95/57 EC), where information on the average number of visited destinations within a single trip is not provided. This paper aims at discussing the main implications of multi-destination trips, both on tourism statistics and on destination management. It also proposes to describe the research design and main preliminary results of a survey on incoming tourism in Sicily. Some remarks dealing with the positive and negative impacts of unobserved tourism and of multi-destination trips are reported at the end.

Suggested Citation

  • Parroco, Anna Maria & Vaccina, Franco & De Cantis, Stefano & Ferrante, Mauro, 2012. "Multi-destination trips and tourism statistics: Empirical evidences in Sicily," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-27.
  • Handle: RePEc:zbw:ifweej:201244
    DOI: 10.5018/economics-ejournal.ja.2012-44
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    References listed on IDEAS

    as
    1. Serena Volo, 2010. "Research Note: Seasonality in Sicilian Tourism Demand – An Exploratory Study," Tourism Economics, , vol. 16(4), pages 1073-1080, December.
    2. John R. McKean & Donn M. Johnson & Richard G. Walsh, 1995. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation," Land Economics, University of Wisconsin Press, vol. 71(1), pages 96-105.
    3. De Cantis, Stefano & Parroco, Anna Maria & Ferrante, Mauro & Vaccina, Franco, 2015. "Unobserved tourism," Annals of Tourism Research, Elsevier, vol. 50(C), pages 1-18.
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    Citations

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    Cited by:

    1. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    2. Patricio Aroca & Juan Gabriel Brida & Juan Sebastián Pereyra & Serena Volo, 2014. "Tourism statistics: correcting data inadequacy using coarsened exact matching," BEMPS - Bozen Economics & Management Paper Series BEMPS22, Faculty of Economics and Management at the Free University of Bozen.
    3. De Cantis, Stefano & Ferrante, Mauro & Kahani, Alon & Shoval, Noam, 2016. "Cruise passengers' behavior at the destination: Investigation using GPS technology," Tourism Management, Elsevier, vol. 52(C), pages 133-150.
    4. De Cantis, Stefano & Parroco, Anna Maria & Ferrante, Mauro & Vaccina, Franco, 2015. "Unobserved tourism," Annals of Tourism Research, Elsevier, vol. 50(C), pages 1-18.
    5. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    6. Shoval, Noam & Kahani, Alon & De Cantis, Stefano & Ferrante, Mauro, 2020. "Impact of incentives on tourist activity in space-time," Annals of Tourism Research, Elsevier, vol. 80(C).
    7. Kincses, Áron & Tóth, Géza & Tömöri, Mihály & Michalkó, Gábor, 2017. "Characteristics of transit tourism in Hungary with a focus on expenditure," MPRA Paper 76854, University Library of Munich, Germany.

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    More about this item

    Keywords

    multi-destination trip; tourists' behaviours; spatial movements; tourism statistics; border survey;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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